Showing posts with label cognition. Show all posts
Showing posts with label cognition. Show all posts

Thursday, September 2, 2021

Becoming the Artificial Unconscious


Yves Tanguy – Indefinite Divisibility – 1942

The first step to becoming a computer is to think like a computer. The next step to becoming a computer is to materialize those thoughts, perhaps in the form of pictures. 

The Surrealists did this with our collective unconscious. At a time in history when humans were becoming "modern", they took the dark mess of confusion that was our subconscious and made it visible. They used automatic artmaking, dream recall, and mind games like Exquisite Corpse to hack through our subconscious and bring back precious material to help us understand ourselves and what we were becoming. 

The above image is an example of the unconscious mind made visible by Yves Tanguy from 1942.

Today, we are again becoming new kinds of human. Our minds are merging with the computer algorithms we have created, so they in turn create us, in a never-ending feedback loop of evolution. 

Art has lots of purposes, but I like to think the most important purpose of all is to teach us how to be human. And today, being human has a lot do with being a computer. This is what computer-brains look like on the inside:

BigGAN-generated image by Mario Klingemann - 2019

They're also calling it social media performance art. But I think artists have been doing this for quite a while, under the name generative digital art, or algorithmic art. I just wonder what the Surrealists would say if they could see this stuff.

Post Script:
Melbourne artist and coder Sam Hains created Zero Likes, an AI trained to respond only to those lost and lonely images that miss out on attention.

Dog layers on a bed with a blanket - Sam Hains Zero Likes - 2017

Post Post Script:
First of all, the MIT Press has a journal called Leonardo. Next, here is a nice explanation of the artistic process by neuroscience researchers, written in the online science magazine Medical Express.

"Ultimately, we sought to explain the role of implicit learning processes in artistic cognition, or how the competition between different brain networks can lead to a more effective artistic intuition."

And they found that "weaker" prefrontal circuits, which are related to executive functions, can actually lead to more effective artistic cognition. The researchers refer to this phenomenon as the Andras effect.

"For example, if a photographer can tune down her control functions and access to long-term memories, she can perceive a 'different world'; a world without expectations or past memories," Nemeth said. "We can call this intuitive photography."

Kate Schipper et al. How do competitive neurocognitive processes contribute to artistic cognition? – The Andras-effect, Leonardo (2020). DOI: 10.1162/leon_a_02007

I'm also thinking now about how the chemical promiscuity of olfactory receptors makes mindful, environmental odor exploration (paying attention to smells) a great means to exercise your artistic mind. 

Sunday, December 8, 2019

Artificial Impressionism


Fake news via OpenAI - Eloquently incoherent?
Nov 2019, phys.org

Robots slowly taking over. Give them a sentence and they can now keep it going for a few more sentences, but after that it gets stupid.

So you can give it a fake headline, and it will generate the first line of the story, but after that things will start to fall apart.

Good thing the targets for engineered memetic propagation are not trying to read past the first sentence!

Post Script
Researchers develop a method to identify computer-generated text
July 2019, phys.org



In the above 3 images, the first is a chunk of text written by a robot (most of the words are green, with a few yellows sprinkled in), the second is a real New York Times article (only half is green, the rest is yellow, with some red, and a sprinkle of purple) and the third picture is a clip from "the most unpredictable human text ever written", James Joyce's Finnegan's Wake (the colors green, yellow, red, purple are all evenly distributed about the page).

Green words are very predictably the next word. Yellow words are less likely to show up after the word they show up after. And red and purple are for when the next word is something you absolutely did not expect.

Because text-writing algorithms today use a statistical correlation program based on a compendium of written language (so they know what words typically occur together) the output of such algos will tend to look like the topmost image with all green words. The algos can't think for themselves, they can't 'come up with' new stuff, and they can't be unpredictable. The whole point of writing an algorithm to do this is to prescribe what it's going to do in advance, i.e., it's predictable.

Anyway, soon we won't be writing our robots to write like that. They'll use less predictable programs to generate their text, with unpredictability and random association thrown in there on purpose.

Sunday, January 29, 2017

It's Alive

AKA - The Selfish Meme grows legs


Network Address has been slacking on the Fake News front, simply because we tend to avoid anything on the front lines (since you're probably already getting that news from somewhere else) but this stuff is just too good...

As information bursts forth from the noosphere into the anthroposphere, from the inorganic to the organic, from the dematerialized idea to the materialized corpuscule, we see...

Cambridge scientists consider fake news 'vaccine'
Jan 2017, BBC

Researchers suggest "pre-emptively exposing" readers to a small "dose" of the misinformation can help organisations cancel out bogus claims. ...like a virus...contagion...


POST SCRIPT

But let us not forget - Charles Darwin used the taxonomy of Language to explain his theory of evolution.

Natural Selection X Artificial Intelligence
Network Address, 2012

Also check out The Extended PhenotypeVirus of the Mind, Thought Contagion, and memes, meta-, and memetics in general


Thursday, September 1, 2016

I Network Therefore I Am

The Brainmap, ie the Connectome.
I'll just leave these here, as the paradigm inevitably shifts from physics to network science, we see more promise of finding the evasive rainbow
of human consciousness.

A new study looks for the cortical conscious network
phys.org, Aug 2016

Network theory sheds new light on origins of consciousness
Medical Xpress, March 2015

Tuesday, May 28, 2013

Mimetic Pedagogy

Teachers' gestures boost math learning
March 29, 2013


co-authored by Kimberly Fenn, Michigan State University, assistant professor of psychology

Teachers in the United States tend to use gestures less than teachers in other countries.

Half of the students were shown videos of an instructor teaching math problems using only speech. The others were shown videos of the instructor teaching the same problems using both speech and gestures.

Students who learned from the gesture videos performed better on a test given immediately afterward than those who learned from the speech-only video. Another test was given 24 hours later, and the gesture students actually showed improvement in their performance while the speech-only students did not.

Fenn noted that U.S. students lag behind those in many other Western countries in math and have a particularly hard time mastering equivalence problems in early grades. "So if we can help them grasp this foundational knowledge earlier," she said, "it will help them as they learn algebra and higher levels of mathematics."

Monday, April 15, 2013

Mind Hacks

The guy on the right magically removes a red wallet with one hand, while distracting his subject with the other
[source] National Geographic Test your Brain
[via] Moving Through the Waters of Human Attention

Pay Attention

There is a simple distinction between 'active' attention via the prefrontal cortex, and 'passive' attention in the sensory cortices; humans are so easily tricked...

Friday, March 8, 2013

Thought Gravity


Amazon Patents Gravity-Based Links to Pull You In
Roberto Baldwin 03.01.13, Wired

Amazon has patented a system that pulls the pointer toward a link or button, just the thing to help you click links — and buy products associated with those links.

If you’ve ever hit the wrong button or link on a touchscreen, you know the frustration of tapping repeatedly and still missing the link or button. Amazon’s Gravity-Based Link Assist patent fixes that by creating a gravitational field of sorts around linkable objects that pull the pointer toward tiny links and buttons.
Amazon’s Gravity-Based Link Assist patent

the illusion of control

Leaving the thread to 'prediction analytics in human dynamics' for another day (Barabasi's Bursts),

It's become so easy to imagine things like this within the neural interface, reducing our own cognitive power necessary to achieve accuracy. Today we blame google for making us forgetful of facts. But Tomorrow...

Thursday, November 15, 2012

Crows Don't Understand Shit


Crows can 'reason' about causes, a recent study
18 September 2012, BBC
If I only had a brain...

Time and again, I can't help but think it is us who are more animal than we think. Even our thinking is a product of evolution. We don't make the decisions; ours is to produce variety. Something else makes the decisions, something else calls the mind rational. Perhaps crows do understand. If so, then, we do not.
clipped article:
Tool-making crows have the ability to "reason", say scientists.

In an experiment, researchers found that crows were more likely to forage when they could attribute changes in their environment to a human presence.

This behaviour may suggest "complex cognition", according to a study published in the Proceedings of the National Academy of Sciences.

The study is the first to suggest that animals have the ability to make reasoned inferences, although scientists added that the phenomenon could be more common among animals than previously thought.

see also:
Joshua Klein: The intelligence of crows
FILMED MAR 2008 • POSTED MAY 2008 • TED2008
Watch him explain how he taught crows to recycle, as well as pickpocket
http://www.ted.com/talks/joshua_klein_on_the_intelligence_of_crows.html


Dogs understand human perspective, say researchers
Sean Coughlan, 11 February 2013
They found dogs were four times more likely to steal food they had been forbidden, when lights were turned off so humans in the room could not see.


Saturday, October 6, 2012

The Dual Processing System


Dealing with Difference: From cognition to semiotic cognition
Barend van Heusden. Department of Arts, Culture, and Media Studies, University of Groningen, The Netherlands.
BIOSEMIOTICS vs. ANTHROPOSEMIOTICS
Cognitive Semiotics, Issue 4 (Spring 2009), pp. 116–132

I have clipped what I consider to be some interesting parts of a very powerful article on the nature of thought:

In this paper, it will be argued that semiotic cognition can be conceived as a distinctive form of cognition, which evolved out of earlier forms of non-semiotic cognition. Semiotic cognition depends on the use of signs and it will be shown that a sign is not a ‘thing’, but rather the name given to a specific organization, or structure, of the cognitive process. Once semiotic cognition was available to humans, its structure may have provided the ground for an evolutionary development that was no longer strictly Darwinian, but followed its own semiotic logic. Semiotic cognition confronts humans with a difference that cannot be eliminated, and it is in the ways in which this difference is dealt with that we may discover a logic of cultural evolution that determines the course of long term cultural change. (p116)

If we want to explain this absence of meaning and with it the emergence of a specifically human sense of reality, of time, space, and self, we have to assume that human cognition is based upon a very peculiar system of representation (or ‘pattern matching’) which allows us to process what is seen and heard at the same time, both in terms of stable patterns and of global, concrete and necessarily ‘fuzzy’ patterns. This double processing generates a difference between the stable pattern, which corresponds to what we have called memory, on the one hand, and an instable, always changing pattern corresponding to what one could name the ‘here and now’ or the ‘present’, on the other hand. In a conscious human mind the two patterns never merge completely. (p122)

[Difference] may have freed humans from immediacy, from the continuous ‘now’ in which most, if not all, other organisms live and it probably enabled us to deal with our environment independently of what is simply ‘the case’ in fantasy, myths, religion, technology, the arts and sciences, philosophy. These worlds that we construct in our imagination allow us to cope with change in a more sophisticated way than other organisms do. It does not take long to figure out the profit. What distinguishes human cognition and culture from that of other organisms is not meaning, but the absence of meaning. (p123)

If the assumption put forward here is correct we may investigate further in two directions. ‘Backward’, in order to try to find out and explain how such a double processing could have come about in the evolution of hominids, which is the subject of evolutionary psychology. And ‘forward,’ to find out if and how the peculiar structure of human cognition may have influenced the evolution of human culture. Let us first try to go ‘backward’, finding out about the possible evolutionary development of the human capacity for double processing. It is highly probable that this development made use of the strong lateralization of the human brain. I do not want to suggest that lateralization caused human culture, but what I do suspect is that a lateralization, which was already present (and which is related in primates to handedness*), allowed for the double processing, in terms of stable and changing patterns, of visual and acoustic information in animals with full stereoscopic vision, resulting in a 100% identity of the visual input in the two hemispheres. The coordinating process required a substantial enlargement of the equally present ‘comparator’ or ‘cockpit’, according to the term coined by Elkhonon Goldberg. (p123)


The double processing of the stream of incoming information results in a combination of two types of patterns: stable structures, on the one hand (which we can now identify as ‘schemata’, ‘scripts’, ‘concepts’, ‘structures’, or ‘signs’) and a changing situation, on the other hand (identified as ‘reality’, ‘substance’, ‘object’, ‘the thing itself’, etc.). Memories can now be stored and worked upon independently of the actual situation. Evidently, the most could be made of this development if the set of available memories were considerable. Both factors (a large set of memories and a strong comparator) required brain space. This could be that ‘compelling reason’ why the human brain got so large between 2 and 1.5 million years ago and why the costs of such a large brain were worth paying. (p124)

The stable pattern (memory) is related to a changing pattern (an occurrence). It is this activity of relating that turns the stable patterns into signs, which are used to recognize (to give form to, to interpret, to signify) that other more floating set of patterns constituting actuality. The here and now of the situation, in turn, is what is not a sign. It is ‘reality’, ‘the world’, ‘the object’. Although we immediately admit that this too is a construction based on memories. But the difference between the two is not a construction of our memory, and that is crucial. Thus cognition becomes intentional or semiotic. (p124-5)

The first step in the evolution of culture, as we have seen, must have been that of the doubling of the information processing system: basically the doubling of the representation of perception. (p126)

Semiotic mimetic actions are fundamentally different from imitations, as imitation involves the copying of behaviour, whereas mimesis comes with a new way of representing behaviour, namely without actually performing it (cf. Donald 1991, 2006). Through mimesis, the stable memories, or signs, are acted out and become audible and visible.*

*This corresponds to Piaget’s (1962) notion of “representative imitation”, which according to him emerges out of sensory-motor imitation, via deferred imitation (cf. Zlatev 2007).

Human culture is the process in which more or less stable memories are used to deal with the difference that the world forces upon us. (p127)

Our identity as human beings is thus a process in which we continuously invest energy. […] We exist as a set of memories and as a process in which these memories are used to deal with a dynamic environment. I am, we are, ‘in the making’. Viewing the self as a process rather than as an object therefore becomes more natural (Noble 2006). (p128)

Self-consciousness, both individual and collective, is thus a form of recursion; not formal, but semiotic recursion. Whereas in formal recursion a form consists of elements that reproduce that same form (as in a triangle consisting of three smaller triangles, each of which again consists of three smaller triangles, etc.), in semiotic recursion the process of representation (of ‘aboutness’) is about that process itself. This is what we call reflexivity, meta-representation or meta-cognition. The self is always a constructed self as well as a remembered self or, rather, a self ‘under construction’. (p128-9)

Moreover, the process as such is again remembered, which gives us a strong feeling of being, and having been, alive (cf. Metzinger 2003). […] Art and philosophy are two important forms of meta-cognition in modern and in contemporary culture. Whereas art reflects our life in concrete images, sounds, and stories, philosophy does so through abstract conceptualizations. (p129)

The ‘double processing’ hypothesis presented in this paper would allow us to shed light on the evolution of human culture and on cultural evolution as well. Semiotic cognition became possible because of a change in the primate information processing system. Once this system was in place, a new logic of development could emerge. The logic of cultural evolution seems to be based on what is, in the end, a very simple criterion, namely: whether a sign or sign system offers better chances of dealing with the difference arising in a specific personal, social and natural context, and in so doing also offers better chances of prediction and survival. Which brings us back to biology. This search for better solutions to the problem of difference can explain individual, social, and geographical variations in culture, as well as the steady increase of both abstraction and cultural complexity. (p129-30)

Even though culture certainly is a fact of human biology, what makes it so interesting is the fact that out of biology, in this case, emerges a form of cognition that became free, at least to a certain extent, of the laws of biology by adding a new dimension to these laws, namely the dimension of the semiotic. (p130)

The approach is deeply and truly Darwinian, in the sense that it applies Darwin’s perspective where it can and should be applied, and uses it to explain how and why a non-Darwinian evolutionary system, though nested in biological evolution and fulfilling the same goals, could emerge. Neo- Darwinism is fruitful, but only up to a certain point – which is that of the semiotic. Beyond that point, the laws of development change: instead of ‘BVSR = Blind Variation + Selective Retention’, the logic of the semiotic process, involving mimesis, imagination, conceptualization, and analysis will determine the course of human evolution.* Whereas selective retention may continue to function as it did in animal life, cultural variation is not blind, but informed by semiosis and driven by semiotic strategies.**

* Lassègue (2007) develops a related ‘alternative’ view (to neo-Darwinism, that is), strongly oriented towards the work of Ernst Cassirer. See also Wolfgang Wildgen’s (2003) work on the evolution of human language.
(p130)

** See Wheeler, Ziman & Boden, eds. (2002) on cultural evolution and neo Darwinism. See also David Premack’s review article ‘Human and animal cognition: Continuity and discontinuity’ (2007) where the significant differences between human and animal cognition are stressed.
(p130)

notes:

Donald, M. (1991). Origins of the modern mind. Three stages in the evolution of culture and cognition. Cambridge, MA: Harvard University Press.

Donald, M. (2006). Art and cognitive evolution. In M. Turner (Ed.), The artful mind.

Goldberg, E. (2001). The executive brain. Frontal lobes and the civilized mind. Oxford: Oxford University Press.

Lassègue, J. (2007). Une réinterprétation de la notion de forme symbolique dans un scénario récent d’émergence de la culture. Revue de métaphysique et de morale 2 (2007), 221–236.

Metzinger, T. (2003). Being no one: the self-model theory of subjectivity. Cambridge, MA: MIT Press.

Noble, D. (2006). The music of life. Biology beyond genes. Oxford: Oxford University Press.

Piaget, J. (1962). Play, dreams, and imitation in childhood. London: Routledge and Kegan Paul.

Premack, D. (2007). Human and animal cognition: Continuity and discontinuity. Proceedings of the National Academy of Sciences of the United States of America 104 (35), 13861–13867.

Wheeler, M., Ziman, J., & Boden, M. A. (Eds.) (2002). The evolution of cultural entities. Oxford: Oxford University Press, for The British Academy.

Wildgen, W. (2003). The evolution of human language. Scenarios, principles and cultural dynamics. Amsterdam: John Benjamins.

Zlatev, J. (2007). Embodiment, language, and mimesis. In T. Ziemke, J. Zlatev & R. Franck (Eds.), Body, Language, Mind. Vol. 1: Embodiment (pp. 297–333). New York: Mouton de Gruyter.

Tuesday, July 31, 2012

DSM RIP

(DSM) Diagnostic and Statistical Manual of Mental Disorders

If this were to happen (the 'death' of DSM and a favoring of a cognitive science approach to understanding mental illness), I wonder what would be the effects on Juan Enriquez suggestion that Autism could be a form of cognitive evolution.
Juan Enriquez: Will our kids be a different species? TEDxSummit, Jun2012

A fresh look at mental illness: Researcher points toward a new way to classify disorders
Peter Reuell, Jul 31, Harvard Gazette
clipped article:

Ask Assistant Professor of Psychology Joshua Buckholtz to explain his research into mental disorders, and he’ll likely start with a question that’s got more to do with basic medicine: When is the flu appendicitis?

The answer, of course, is never. Each is associated with a very specific — and nonoverlapping — set of biological causes and effects. Understanding what these are, Buckholtz explained, allows doctors to discriminate between the two with near-perfect accuracy. 

Unfortunately, Buckholtz said, the same cannot be said for mental disorders. 

According to Buckholtz, meeting the diagnostic criteria for multiple psychiatric disorders is the rule, rather the exception. 

“This tells us that there are either a lot of people who are unlucky enough to be afflicted with multiple distinct, unique disorders at the same time, or that something is very wrong with our method for classifying psychological disorders.” 

In a June 21 paper published in Neuron, Buckholtz and co-author Andreas Meyer-Lindenberg, a researcher from the Central Institute of Mental Health and the University of Heidelberg in Germany, identify a biological reason for that disconnect. Extrapolating from what we know about the genetic causes of mental illness and their effects on the brain, they propose that many mental disorders appear to share symptoms because genes for mental illness cause changes in key brain circuits that affect a wide range of cognitive processes. 

“Individual genetic differences cause variability in the way that brain circuits function,” he continued. “These differences in brain circuit function lead to the wide range of variation in cognitive, emotional, motivation, and social function that we see in people all around us. The specific genes that are involved, and the way that these genes interact with the environments to which we are exposed, determine how specific brain circuits behave. When those circuits don’t function well, this is expressed as a deficit in whatever domain of cognition is supported by the ‘sick’ circuit. When these deficits cause dysfunction in everyday life, we call it a symptom. When those symptoms become impairing enough, someone comes to the clinic and receives a diagnosis.” 

“What we can say is that genetic and environmental risk factors for mental illness produce graded changes in the function of one or more brain circuits, producing graded changes in cognitive processes supported by those circuits,” Buckholtz said. “The changes in those cognitive processes will produce varying expression of symptoms that are shared across multiple disorders.” 

One possible impact of the paper’s findings, Buckholtz said, could come as researchers work to design a new way to classify mental disorders. 

POST SCRIPT:

Brain change link to anti-social behaviour in girls
Caroline Parkinson, 21 October 2012, BBC

The Journal of Child Psychology and Psychiatry study of 40 girls revealed brains of teenage girls with behavioural disorders are different to those of their peers.

The team found part of the brain called the amygdala was smaller in the brains of male and female teenagers with conduct disorder than in their peers.

Girls with conduct disorder also had less grey matter in an area of the brain called the insula - linked to emotion and understanding your own emotions.

"In the US, people are already using brain scans to argue diminished responsibility. I think we're too early in our understanding to really do that, but it is happening.
-Dr Graeme Fairchild, of the University of Cambridge 

"It suggests that at least a component of this has a biological basis - and there are people who don't believe there is one."
-Dr Michael Craig of King's College London's Institute of Psychiatry
http://www.bbc.co.uk/news/health-20002093

Uncovering secrets of how intellect and behavior emerge during childhood
November 8, 2012 in Medical Xpress, Genetics

Scientists from the Florida campus of The Scripps Research Institute (TSRI) have shown that a single protein plays an oversized role in intellectual and behavioral development. The scientists found that mutations in a single gene, which is known to cause intellectual disability and increase the risk of developing autism spectrum disorder, severely disrupts the organization of developing brain circuits during early childhood. This study helps explain how genetic mutations can cause profound cognitive and behavioral problems.

The study focused on a critical synaptic protein known as SynGAP1.

"There are a few genes that can't be altered without affecting normal cognitive abilities," Rumbaugh said. "SynGAP1 is one of the most important genes in cognition—so far, every time a mutation that disrupts the function of SynGAP1 has been found, that individual's brain simply could not develop correctly. It regulates the development of synaptic function like no other gene I've seen."

Interestingly, inducing these mutations after the critical development period was complete had virtually no impact on normal synapse function and repairing these pathogenic mutations in adulthood did not improve behavior or cognition.

"A key finding is we were able to remove the mutation and restore SynGAP protein levels in adult mice with obvious cognitive and behavioral problems, but this intervention did not benefit the animals," Rumbaugh said. These results imply that very early intervention is essential in neurodevelopmental disorders, particularly for cognitive problems. The team is now aggressively searching for the optimal period during development in which repairing these mutations is most beneficial.
http://medicalxpress.com/news/2012-11-uncovering-secrets-intellect-behavior-emerge.html

Novel studies of gene regulation in brain development may mean new treatment of mental disorders
December 2, 2012 in Medical Xpress, Genetics
modified

Researchers at the University of California, San Diego and the Institut Pasteur, Paris identified the hierarchical tree of CGG–TF networks that determine the patterns of genes expressed during brain development and found that some "master transcription factors" at the top level of the hierarchy regulated the expression of a significant number of gene groups.

Instead of a taking the approach that a single gene creates a single response, researchers used contemporary methods of data analysis, along with the Gordon supercomputer at the university's San Diego Supercomputer Center (SDSC), to identify CGGs responsible for brain development which can be affected for treatment of mental disorders. The team found that these groups of genes act in concert to send signals at various levels of the hierarchy to other groups of genes, which control the general and more specific (depending of the level) events in brain structure development.

"We have proposed a novel, though still hypothetical, strategy of drug design based on this hierarchical network of TFs that could pave the way for a new category of pharmacological agents that could be used to block a pathway at a critical time during brain development as an effective way to treat and even prevent mental disorders such as ASD and schizophrenia," said lead author Igor Tsigelny, a research scientist with SDSC, as well as the university's Moores Cancer Center and Department of Neurosciences. "On a broader scale, these findings have the potential to change the paradigm of drug design."

A Hierarchical Coherent-Gene-Group Model for Brain Development
Tsigelny IF, Kouznetsova VL, Baitaluk M, Changeux JP
Genes, Brain and Behavior - Nov 22, 2012 [Epub ahead of print]

Computers are better at diagnosing and treating patients than doctors
http://io9.com/5983991/computers-are-better-at-diagnosing-and-treating-patients-than-doctors


Mental Health Researchers Reject Psychiatry’s New Diagnostic ‘Bible’
Maia Szalavitz May 07, 2013

A Revolution in Mental Health
Paul Voosen, in the Chronicle of Higher Education

…most likely candidate for a revolution in mental health research: the National Institute of Mental Health’s RDoC or Research Domain Criteria project

My Brain Made Me Do It:
US courts see rise in defendants blaming their brains for criminal acts
The Guardian, Nov 2013






Thursday, July 12, 2012

Acceleration of Generational Cognitive Disparity



Cognitive evolution is a complex system of ideas, still nascent and elusive in its form. “Accelerating change”, however, is a simple, firmly established concept. If we first loosely define cognition as a ‘way of thinking’, and evolution as ‘change’, then is it possible that we can discover and quantify the difference in ways-of-thinking over time?

From a bicameral perspective, it took humans hundreds of years to transition into the intramentality that we now consider the essential ingredient in what it means to be human (^1). Is our cognition still in the process of changing and is that rate of change increasing? And if so, is there a point at which that rate of change surpasses the distance between generations, a quantity that has held relatively steady for the duration of our species?

Juan Enriquez, genomics-science writer, cites 29 “humanoid upgrades” in the human species to date, and goes on:
“The first place where you would expect to see enormous evolutionary pressure today, both because of its inputs, which are becoming massive, and because of the plasticity of the organ, is in the brain. … Are we seeing rapid brain evolution?” (Enriquez proceeds to question the seemingly rapid advance of autism…) (^2)
The speed of biological/DNA evolution was one bit per year, whereas the speed of technological/human-generated, technologically-mediated information is at 400exobytes per year (^3). Any possible permutation of a theory of coevolution cannot neglect to account for this difference in the "most evolvable human organ".

And finally, in an article about the filtering of pornography on family computers:
"Many [parents] want to take responsibility, but all too often they do not how know how because they find the technology too difficult to use or their children are more technically advanced then they are." (^4)
Every last institution on Earth is designed to work within the steady rhythm of human generations. Our schools aren’t working, and our leadership isn’t either, nor the media. It is possible that we can just now glimpse the puzzling glimmer of the effects of generational cognitive disparity on society. And it is perhaps not such a bad idea to strain our vision just a little bit harder, before this thing smacks us in the face.


2. Juan Enriquez: Will our kids be a different species? TEDxSummit, Jun2012

3. Kevin Kelly, What Technology Wants, 2010 (p334)

4. Automatic bar on net porn consideredBBC news, 27 June 2012



POST SCRIPT:
[Accelerating Change and Education]
SHAILA DEWAN, September 22, 2012